mycpp Code Generation

Measure the speedup from mycpp, and the resource usage.

Source code: oil/mycpp/examples

User Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
modules 0 170 0.000
fib_iter 8 888 0.009
fib_recursive 11 891 0.012
loops 4 303 0.013
parse 18 783 0.024
asdl_generated 11 378 0.029
containers 4 114 0.033
scoped_resource 47 1,050 0.045
files 7 71 0.103
tuple_return_value 20 185 0.107
classes 3 26 0.123
length 44 200 0.222
cartesian 73 322 0.226
escape 106 333 0.318
cgi 268 512 0.524
varargs 12 20 0.584
control_flow 208 97 2.144

Max Resident Set Size (MB)

Lower ratios are better. We use MB (powers of 10), not MiB (powers of 2).

example name C++ Python C++ : Python
classes 4.5 10.7 0.41
parse 3.7 7.6 0.48
fib_iter 3.4 6.9 0.49
fib_recursive 3.5 7.1 0.50
scoped_resource 3.5 6.9 0.51
loops 3.7 7.1 0.52
escape 3.5 6.8 0.52
asdl_generated 3.7 6.9 0.53
cartesian 3.7 6.9 0.53
cgi 3.7 6.9 0.53
control_flow 3.7 6.9 0.53
length 3.7 6.9 0.53
tuple_return_value 3.7 6.9 0.53
files 3.8 7.1 0.54
modules 3.8 6.9 0.55
containers 28.6 47.8 0.60
varargs 5.5 6.9 0.79

System Time (milliseconds)

Lower ratios are better.

example name C++ Python C++ : Python
asdl_generated 0 12 0.000
cgi 0 8 0.000
classes 0 4 0.000
control_flow 0 15 0.000
escape 0 16 0.000
fib_iter 0 4 0.000
fib_recursive 0 4 0.000
files 0 4 0.000
length 0 8 0.000
loops 0 4 0.000
scoped_resource 0 8 0.000
tuple_return_value 0 8 0.000
modules 2 12 0.166
containers 11 20 0.558
parse 11 12 0.924
varargs 54 52 1.048
cartesian 20 12 1.671

raw benchmark files